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Ultrasonic Welding Defect Sizing by Advanced Pattern Recognition Techniques

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Review of Progress in Quantitative Nondestructive Evaluation

Abstract

Ultrasonic flaw sizing based on signal analysis and classification techniques was applied to linear welding flaws of sizes ranging from 1mm to 3mm generated under controlled laboratory conditions. Over 400 ultrasonic signals were captured digitally at various positions along these linear flaws and analyzed by an advanced pattern recognition package with regard to flaw sizes. Very encouraging results were observed and in some cases 100% correct flaw sizing performance has been achieved.

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Bibliography

  1. K.R. Erikson, F.J. Fry and J.P. Jones, “Ultrasonics in medicine — a review”, IEEE Trans. on Sonic and Ultrasonics, Vol. 54-21, No. 3, July 1974, pp. 144–170.

    Google Scholar 

  2. J.C. Kennedy and W.E. Woodmansee, “Signal processing in nondestructive testing”, Journal of Testing and Evaluation, Vol. 3, No. 1, Jan. 1975, pp. 26–45.

    Article  Google Scholar 

  3. J.L. Rose and P.A. Meyer, “Signal processing concepts for flaw characterization”, The British Journal of Non-destructive Testing, Vol. 16, No. 4, July 1974, pp. 97–106.

    Google Scholar 

  4. J.L. Rose and P.A. Meyer, “Ultrasonic signal-processing concepts for measuring the thickness of thin layers”, Materials Evaluation, Vol. 32, No. 12, Dec. 1974, pp. 249–255, 258.

    Google Scholar 

  5. J.L. Rose, “A 23 Flaw Soring Study in Ultrasonics and Pattern Recognition”, Materials Evaluation, July 1977, pp. 27–92, 96.

    Google Scholar 

  6. D.R. Hay, R.W.Y. Chan, “Identification of Deformation Mechanisms by Classification of Acoustic Emission Signals”, 14th. Symposium on Non-destructive Evaluation, San Antonio, Texas, April, 1983.

    Google Scholar 

  7. J.R. Matthews, D.R. Hay and R.W.Y. Chan, “Automated Ultrasonic Inspection and Data Collection System”, Ultrasonic International Conference, July 12–14, 1983.

    Google Scholar 

  8. D.R. Hay, R.W.Y. Chan, K.J. Siddiqui and D. Sharp, “Classification of Acoustic Emission Signals Generated During Welding”, submitted for publication.

    Google Scholar 

  9. A.N. Mucciardi, R. Shankar, J. Cleveland and H.L. Reeves, “Adaptive Nonlinear Signal Processing for Characterization of Ultrasonic NDE Waveforms”, Techo Rep., AMFL-TR-75-24, USAF Material Lab., Air Force Systems Command, Wright-Patterson Air Force Base, Ohio, Feb. 1975.

    Google Scholar 

  10. H.S. Silvus, Jr., “Advanced Ultrasonic Systems: A State-of-the-Art Survey”, NTIAC-77-1, Southwest Research Institute, Sept., 1976.

    Google Scholar 

  11. G.J. Gruber, “Defect Identification and Sizing by the Ultrasonic Satellite-Pulse Technique”, Journal of NDE, Vol. 1, No. 4, 1980, pp. 263–276.

    Google Scholar 

  12. L.J. O’Brien, N.A. Aravanis, J.R. Gouge, Jr., A.N. Mucciardi, D.K. Lemon and J.R. Skorpik, “Automatic Ultrasonic Imaging System with Adaptive Learning Network Signal Processing Techniques”, Tech. Rep. NP-2336, EPRI Topical Report, April, 1982.

    Google Scholar 

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© 1985 Plenum Press, New York

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Chan, R.W.Y., Sharp, D., Hay, D.R., Monchalin, JP., Bussiere, J. (1985). Ultrasonic Welding Defect Sizing by Advanced Pattern Recognition Techniques. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9421-5_24

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  • DOI: https://doi.org/10.1007/978-1-4615-9421-5_24

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-9423-9

  • Online ISBN: 978-1-4615-9421-5

  • eBook Packages: Springer Book Archive

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